Investment is a tool to earn income in the future. With so much uncertainty in generating income, it encourages someone to do something that will benefit themselves in the future. So that those who invest in the right way will feel calm about facing the lives of themselves and their families in the future. For investors, this research involved 54 companies and 11 companies were selected as samples through purposive sampling. The data analysis tools used in this research are classical assumption testing, multiple linear regression analysis, correlation analysis, coefficient of determination analysis, and hypothesis testing. The results of this research indicate that partially the Liquidity, Activity Ratio and Profitability variables have a significant effect on share prices. Leverage has no significant effect on stock prices. Simultaneously, the ratio variables Liquidity, Leverage, Activity and Profitability have a significant influence on Share Prices of 88.2% and the remaining 11.8% is influenced by other variables.

Lampung, a province located at the southern end of Sumatra Island, serves as a gateway for many migrants from different regions in Indonesia. However, some of the locals and tourists still face difficulties in finding the central location for souvenirs due to the  vast number of shops available. The purpose of this research is to assist tourists in finding the shortest distance to the nearest souvenir location using the Floyd Warshall algorithm. The software development method employed in this study is the Prototype, which consists of four stages, namely Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, Deployment Delivery & Feedback. In the Rapid Modeling stage, the Floyd Warshall algorithm is used to determine the shortest distance for users to find the souvenir location. The result of this research is an android-based application that can provide the    nearest souvenir location with the shortest distance around the user.

Sufism should not be interpreted as an activity solely focused on withdrawing from the world. Instead, Sufism should be utilized as a motivation for every Muslim to seek worldly wealth. However, this worldly wealth should ultimately be used to accumulate good deeds for the hereafter. Prophetic Intelligence is a Sufi study that can be used to integrate the interests of both the worldly and the hereafter. The practice of Sufism in Prophetic Intelligence refers to the example set by the Prophet Muhammad (PBUH). On one hand, he was the Messenger of Allah carrying out duties for the hereafter, and on the other hand, he was a merchant demonstrating how to be a successful entrepreneur in the world. The example of the Prophet Muhammad (PBUH) serves as a model of entrepreneurial ethics.
 

In the current era of technological advancement, deep learning has become a widely discussed and utilized topic, particularly in image classification, object detection, and natural language processing. A significant development in deep learning is the Convolutional Neural Network (CNN), which is enhanced with various optimizations such as Adam, RMSProp, and SGD. This thesis implements the Inception v3 architecture for the deep learning model, utilizing these three optimization methods to classify malaria disease. The study aims to evaluate performance and determine the best optimization based on classification accuracy. The results indicate that the SGD optimization with a learning rate of 0.001 achieved an accuracy of 94%, RMSProp with learning rates of 0.001 and 0.0001 achieved an accuracy of 96%, and Adam with learning rates of 0.001 and 0.0001 achieved an accuracy of 95%.

Porang flour, extracted from the tuber of the porang plant (Amorphophallus muelleri), is known as a food ingredient rich in fiber and low in calories. This study aims to measure the crude fiber content in porang flour tested at the Food and Agricultural Product Technology Laboratory, Faculty of Agricultural Technology, Universitas Gadjah Mada. Based on the analysis, the average crude fiber content in porang flour was found to be 0.79%, with a standard deviation of 0.02%. However, no crude fiber content was found in the porang flour gel sample. These findings provide important insights into the potential of porang flour as a fiber source in the development of food products. The results also demonstrate product quality consistency, which can serve as a foundation for the development of healthier food industries.

LP is one of the pharmaceutical companies located in Serang, Banten. The production of the company is tablets, capsules, and syrup. Problems that occur at PT. LP is a product defect that occurs in capsule filling, especially in capsule A. The purpose of this study is to determine the defective products that occur in capsule A and to find out the proposed improvements that will be made to reduce product defects in capsule A. The research methods used are Statistical Process Control (SPC)  and Fuzzy Failure Mode and Effect Analysis (F-FMEA). The population and samples used were defective capsule A during the production process from March 2022 to May 2023, with sampling techniques through production data, observation and interviews. And the results of research using a check sheet show that the percentage of defects reaches 6%, based on the pareto chart, the priority of improvement that needs to be done is for the dominant type of defect, namely  the dented capsule reject reaches 90%, and on the control chart there are still control points that are outside the UCL and LCL. FMEA calculations, the RPN value of the capsule is dented on the head of the capsule or capsule body reaches 384, and the FRPN value is 6.76.

 
 

Quality improvement can be achieved by making innovations in the development of rubber asphalt material. This research was conducted to determine the effect of adding natural rubber as an additive to the wear-resistant Laston mixture (AC-WC). This study made 33 total samples, which were divided into 18 conventional asphalt mixtures and 15 rubber asphalt mixtures, with normal asphalt variations ranging from 5.5% - 8% and for rubber with variations of 5% - 7% of optimum asphalt weight, respectively each with an interval (0.5 %). It was mixed using a wet process. Based on the 2018 General Highways Specifications, Optimum Asphalt Content (OAC) was obtained at 7.5% and Optimum Rubber Content (ORC) at 6%. The test results for the stability and melting values of normal asphalt were 1786.22 kg and 3.56 mm, while the tests for the stability and melting values for rubber asphalt were 1181.22 kg and 3.6 mm. It can be interpreted that adding this rubber content increases the stability of the value 2x greater than the point where the stability value falls on the normal asphalt content variation of 8%. 

Exclusive breastfeeding for infants 0-6 months in Bekasi Regency in 2021 was 72.59%. The results of preliminary studies based on the results of interviews, there has been no handling of increasing breast milk volume production with the marmet technique. The purpose of UNU's research is to determine the effect of marmet technique on breast milk production in postpartum mothers at TPMB R, Cibitung in 2023. Pre-experimental research method, one group pretest posttest. The population amounted to 30 postpartum mothers with a research sample of 30 respondents, with total sampling. Research instrument observation sheet of breast milk volume. Univariate analysis and bivariate analysis with Wilcoxon test. The results of the study found that postpartum maternal milk production before marmet technique intervention was given, milk production with less category as much as 73.3%, while after marmet technique intervention milk production with less category as much as 40%. Wilcoxon test results obtained p-values of 0.002 < ? 0.05. The conclusion of this study is that there is an effect of giving marmet techniques on postpartum mother's milk production.

Quick response code adalah matriks dua dimensi yang dapat menyimpan informasi dalam empat mode pengkodean berbeda. QR Code menawarkan kemudahan dan kecepatan dalam menyimpan dan mengakses informasi sehingga dalam implementasinya terbatas pada penyematan informasi singkat seperti kode produk, tautan  website ataupun kode pembayaran. Pada perkembangannya, QR Code seharusnya dapat mengubah kebiasaan manusia dalam menyimpan informasi akan tetapi hal ini sulit dilakukan karena QR Code memiliki batasan karakter bergantung pada metode pengkodean. Oleh karena itu tujuan dari penelitian ini adalah untuk mengoptimalisasi kapasitas informasi pada QR Code dengan mengkombinasikan  algoritma Huffman dan metode  Rivest Shamir Adleman. Hasil penelitian menunjukan bahwa metode yang diusulkan yaitu flowchart QR Code Generator dan QR Code Reader dapat mengoptimalisasi kapasitas informasi pada QR Code sebesar 81% . Hal ini menunjukan bahwa QR Code versi 40 dengan level L yang memiliki batasan 4296 karakter alfanumerik, dapat dioptimalkan sampai dengan 7775 karakter alfanumerik. Oleh karena itu kesimpulan dari penelitian ini adalah metode yang diusulkan yaitu flowchart QR Code Generator dan QR Code Reader tidak hanya dapat mengoptimalkan kapasitas informasi pada QR Code tapi juga dapat mengamankan informasi yang disematkan pada QR Code dengan tidak mengorbankan kecepatan pemrosesan saat pemindaian.

The increasing development of technology and increasing buying and selling activities require every business owner to adapt to technological developments, for business owners selling or processing sales data is very important as is done by PT.XYZ household furniture items such as tables, chairs, dressers, wardrobes, sofas and many more, where sales data is still done manually, such as a lack of reviewing what products consumers need and ineffective data storage. To overcome this problem the researcher tried to implement it using one of the methods available in data mining, namely the K-Means Algorithm. –certain data groups (clusters). So, by grouping this data, the company can find out which items are selling best and which are not selling well. So that the goods in the warehouse do not pile up. From this research, the resulting output is 5 of the best-selling items, and 5 of the least-selling items. With the data processing carried out, it is hoped that it can provide solutions to the company so that they can find out which items are the best-selling and best-selling items.